The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-05-12"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "4261955 (up from 4177504 yesterday: 2.02 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "291964 (up from 286330 yesterday: 1.97 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.85



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1369574 21693 1.61 82376 1694 2.10 6.01
Russia 232243 10899 4.92 2116 107 5.33 0.91
Spain 228030 594 0.26 26920 176 0.66 11.81
United Kingdom 227741 3409 1.52 32769 628 1.95 14.39
Italy 221216 1402 0.64 30911 172 0.56 13.97
France 178349 802 0.45 26994 348 1.31 15.14
Brazil 178214 8620 5.08 12461 808 6.93 6.99
Germany 173171 595 0.34 7738 77 1.01 4.47
Turkey 141475 1704 1.22 3894 53 1.38 2.75
Iran 110767 1481 1.36 6733 48 0.72 6.08
China 84018 7 0.01 4637 0 0.00 5.52
India 74292 3524 4.98 2415 121 5.27 3.25
Canada 72419 1155 1.62 5300 185 3.62 7.32
Peru 72059 3237 4.70 2057 96 4.90 2.85
Belgium 53779 330 0.62 8761 54 0.62 16.29
Netherlands 43183 196 0.46 5529 54 0.99 12.80
Saudi Arabia 42925 1911 4.66 264 9 3.53 0.62
Mexico 38324 1997 5.50 3926 353 9.88 10.24
Pakistan 34336 2255 7.03 737 31 4.39 2.15
Chile 31721 1658 5.52 335 12 3.72 1.06
Ecuador 30419 910 3.08 2327 182 8.48 7.65
Switzerland 30380 36 0.12 1867 22 1.19 6.15
Portugal 27913 234 0.85 1163 19 1.66 4.17
Sweden 27272 602 2.26 3313 57 1.75 12.15
Qatar 25149 1526 6.46 14 0 0.00 0.06
Belarus 24873 967 4.05 142 7 5.19 0.57
Singapore 24671 849 3.56 21 0 0.00 0.09
Ireland 23242 107 0.46 1488 21 1.43 6.40
United Arab Emirates 19661 783 4.15 203 2 1.00 1.03
Poland 16921 595 3.64 839 28 3.45 4.96
Bangladesh 16660 969 6.18 250 11 4.60 1.50
Israel 16529 23 0.14 260 2 0.78 1.57
Ukraine 16023 375 2.40 425 17 4.17 2.65
Japan 15968 121 0.76 657 24 3.79 4.11
Austria 15961 79 0.50 623 3 0.48 3.90
Romania 15778 190 1.22 1002 20 2.04 6.35
Indonesia 14749 484 3.39 1007 16 1.61 6.83
Colombia 12272 659 5.67 493 14 2.92 4.02
Philippines 11350 264 2.38 751 25 3.44 6.62
South Africa 11350 698 6.55 206 0 0.00 1.81
Korea, South 10962 26 0.24 259 1 0.39 2.36
Dominican Republic 10900 266 2.50 402 9 2.29 3.69
Denmark 10789 78 0.73 527 -6 -1.13 4.88
Kuwait 10277 991 10.67 75 10 15.38 0.73
Serbia 10243 67 0.66 220 2 0.92 2.15
Egypt 10093 347 3.56 544 11 2.06 5.39
Panama 8783 167 1.94 252 3 1.20 2.87
Czechia 8221 45 0.55 283 1 0.35 3.44
Norway 8157 25 0.31 228 4 1.79 2.80
Australia 6980 10 0.14 98 1 1.03 1.40
Malaysia 6742 16 0.24 109 0 0.00 1.62
Argentina 6563 285 4.54 319 5 1.59 4.86
Morocco 6418 137 2.18 188 0 0.00 2.93
Algeria 6067 176 2.99 515 8 1.58 8.49
Finland 6003 19 0.32 275 4 1.48 4.58
Bahrain 5531 295 5.63 9 1 12.50 0.16
Kazakhstan 5279 72 1.38 32 0 0.00 0.61
Moldova 5154 159 3.18 182 7 4.00 3.53
Ghana 5127 427 9.09 22 0 0.00 0.43
Afghanistan 4963 276 5.89 127 5 4.10 2.56
Nigeria 4787 146 3.15 158 8 5.33 3.30
Luxembourg 3894 6 0.15 102 1 0.99 2.62
Oman 3721 148 4.14 17 0 0.00 0.46
Armenia 3538 146 4.30 47 1 2.17 1.33
Hungary 3313 29 0.88 425 4 0.95 12.83
Thailand 3017 2 0.07 56 0 0.00 1.86
Bolivia 2964 133 4.70 128 6 4.92 4.32
Iraq 2913 95 3.37 112 2 1.82 3.84
Greece 2744 18 0.66 152 1 0.66 5.54
Azerbaijan 2693 104 4.02 33 1 3.12 1.23
Cameroon 2689 0 0.00 125 0 0.00 4.65
Uzbekistan 2519 33 1.33 10 0 0.00 0.40
Guinea 2298 152 7.08 11 0 0.00 0.48
Croatia 2207 11 0.50 91 0 0.00 4.12
Bosnia and Herzegovina 2158 17 0.79 117 4 3.54 5.42
Honduras 2080 -20 -0.95 121 5 4.31 5.82
Bulgaria 2023 33 1.66 95 2 2.15 4.70
Senegal 1995 109 5.78 19 0 0.00 0.95
Cote d’Ivoire 1857 127 7.34 21 0 0.00 1.13
Cuba 1804 21 1.18 78 1 1.30 4.32
Iceland 1801 0 0.00 10 0 0.00 0.56
Estonia 1746 5 0.29 61 0 0.00 3.49
North Macedonia 1674 10 0.60 92 1 1.10 5.50
Sudan 1661 135 8.85 80 6 8.11 4.82
New Zealand 1497 0 0.00 21 0 0.00 1.40
Lithuania 1491 6 0.40 50 0 0.00 3.35
Slovakia 1465 8 0.55 27 1 3.85 1.84
Slovenia 1461 1 0.07 102 0 0.00 6.98
Djibouti 1256 29 2.36 3 0 0.00 0.24
Guatemala 1199 85 7.63 27 1 3.85 2.25
Somalia 1170 81 7.44 52 0 0.00 4.44
Congo (Kinshasa) 1102 78 7.62 44 3 7.32 3.99
Kyrgyzstan 1037 21 2.07 12 0 0.00 1.16
Tunisia 1032 0 0.00 45 0 0.00 4.36

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 338485 1430 0.42 27284 296 1.10 8.06 17399.64 1402.52 1 in 57
New Jersey 140917 711 0.51 9531 191 2.04 6.76 15865.12 1073.05 1 in 63
Illinois 83021 4014 5.08 3601 142 4.11 4.34 6551.62 284.17 1 in 153
Massachusetts 79332 870 1.11 5141 33 0.65 6.48 11415.49 739.77 1 in 88
California 70978 1649 2.38 2879 100 3.60 4.06 1796.36 72.86 1 in 557
Pennsylvania 61310 851 1.41 3914 82 2.14 6.38 4789.10 305.73 1 in 209
Michigan 48021 469 0.99 4674 90 1.96 9.73 4808.42 468.02 1 in 208
Florida 41923 941 2.30 1779 44 2.54 4.24 1951.93 82.83 1 in 512
Texas 41432 877 2.16 1146 29 2.60 2.77 1428.89 39.52 1 in 700
Georgia 34924 922 2.71 1498 54 3.74 4.29 3289.31 141.09 1 in 304
Connecticut 34333 568 1.68 3041 33 1.10 8.86 9629.80 852.95 1 in 104
Maryland 34061 688 2.06 1756 73 4.34 5.16 5633.94 290.46 1 in 177
Louisiana 32050 235 0.74 2347 39 1.69 7.32 6894.26 504.86 1 in 145
Virginia 25800 730 2.91 892 42 4.94 3.46 3022.66 104.50 1 in 331
Ohio 25250 473 1.91 1436 79 5.82 5.69 2160.13 122.85 1 in 463
Indiana 25127 500 2.03 1578 38 2.47 6.28 3732.35 234.40 1 in 268
Colorado 20157 278 1.40 1010 23 2.33 5.01 3500.25 175.39 1 in 286
Washington 17330 208 1.21 962 17 1.80 5.55 2275.80 126.33 1 in 439
Tennessee 16111 567 3.65 266 15 5.98 1.65 2357.76 38.93 1 in 424
North Carolina 15622 348 2.28 600 25 4.35 3.84 1489.50 57.21 1 in 671
Iowa 12912 539 4.36 289 18 6.64 2.24 4092.46 91.60 1 in 244
Minnesota 12494 695 5.89 614 23 3.89 4.91 2215.39 108.87 1 in 451
Arizona 11736 353 3.10 562 20 3.69 4.79 1541.19 73.80 1 in 649
Rhode Island 11614 164 1.43 444 14 3.26 3.82 10963.21 419.12 1 in 91
Wisconsin 10611 193 1.85 418 9 2.20 3.94 1822.43 71.79 1 in 549
Alabama 10464 300 2.95 435 32 7.94 4.16 2134.12 88.72 1 in 469
Missouri 10269 112 1.10 529 15 2.92 5.15 1673.18 86.19 1 in 598
Mississippi 9908 234 2.42 457 22 5.06 4.61 3329.13 153.55 1 in 300
Nebraska 8532 125 1.49 100 2 2.04 1.17 4410.65 51.70 1 in 227
South Carolina 7927 135 1.73 355 9 2.60 4.48 1539.61 68.95 1 in 650
Kansas 7240 81 1.13 184 4 2.22 2.54 2485.14 63.16 1 in 402
Kentucky 6853 176 2.64 321 10 3.22 4.68 1533.91 71.85 1 in 652
Delaware 6741 176 2.68 237 12 5.33 3.52 6922.62 243.39 1 in 144
District of Columbia 6485 96 1.50 336 8 2.44 5.18 9188.82 476.09 1 in 109
Utah 6432 70 1.10 73 5 7.35 1.13 2006.26 22.77 1 in 498
Nevada 6313 161 2.62 321 9 2.88 5.08 2049.57 104.22 1 in 488
New Mexico 5212 143 2.82 219 11 5.29 4.20 2485.66 104.44 1 in 402
Oklahoma 4732 119 2.58 278 4 1.46 5.87 1195.86 70.26 1 in 836
Arkansas 4164 121 2.99 95 1 1.06 2.28 1379.80 31.48 1 in 725
South Dakota 3663 49 1.36 39 5 14.71 1.06 4140.58 44.08 1 in 242
Oregon 3358 72 2.19 130 0 0.00 3.87 796.16 30.82 1 in 1256
New Hampshire 3239 79 2.50 142 9 6.77 4.38 2382.12 104.43 1 in 420
Puerto Rico 2299 43 1.91 114 1 0.88 4.96 719.86 35.70 1 in 1389
Idaho 2293 33 1.46 69 -1 -1.43 3.01 1279.53 38.50 1 in 782
North Dakota 1571 53 3.49 38 2 5.56 2.42 2061.51 49.86 1 in 485
Maine 1477 15 1.03 65 0 0.00 4.40 1098.79 48.36 1 in 910
West Virginia 1378 12 0.88 58 4 7.41 4.21 771.06 32.45 1 in 1297
Vermont 927 1 0.11 53 0 0.00 5.72 1485.60 84.94 1 in 673
Wyoming 675 6 0.90 7 0 0.00 1.04 1166.29 12.09 1 in 857
Hawaii 635 1 0.16 17 0 0.00 2.68 448.49 12.01 1 in 2230
Montana 461 2 0.44 16 0 0.00 3.47 431.33 14.97 1 in 2318
Alaska 383 4 1.06 10 0 0.00 2.61 523.55 13.67 1 in 1910

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 1225113 338485 27.63 62976.28
New Jersey 433060 140917 32.54 48755.99
Illinois 471691 83021 17.60 37223.62
Massachusetts 401496 79332 19.76 57773.34
California 1033370 70978 6.87 26153.17
Pennsylvania 295980 61310 20.71 23119.84
Michigan 307890 48021 15.60 30829.52
Florida 579604 41923 7.23 26986.27
Texas 525697 41432 7.88 18130.06
Georgia 262179 34924 13.32 24693.28
Connecticut 138424 34333 24.80 38825.49
Maryland 169503 34061 20.09 28037.04
Louisiana 228012 32050 14.06 49047.56
Virginia 155329 25800 16.61 18197.96
Ohio 217731 25250 11.60 18626.84
Indiana 150510 25127 16.69 22356.67
Colorado 108657 20157 18.55 18868.20
Washington 252108 17330 6.87 33107.23
Tennessee 283824 16111 5.68 41536.19
North Carolina 202244 15622 7.72 19283.22
Iowa 81288 12912 15.88 25764.25
Minnesota 120834 12494 10.34 21425.87
Arizona 122842 11736 9.55 16131.81
Rhode Island 95239 11614 12.19 89902.31
Wisconsin 123359 10611 8.60 21186.84
Alabama 133218 10464 7.85 27169.69
Missouri 121296 10269 8.47 19763.33
Mississippi 97692 9908 10.14 32824.97
Nebraska 47943 8532 17.80 24784.33
South Carolina 93140 7927 8.51 18089.95
Kansas 54109 7240 13.38 18573.01
Kentucky 104024 6853 6.59 23283.71
Delaware 33291 6741 20.25 34187.96
District of Columbia 31050 6485 20.89 43995.81
Utah 153485 6432 4.19 47874.93
Nevada 64075 6313 9.85 20802.52
New Mexico 106721 5212 4.88 50896.38
Oklahoma 96111 4732 4.92 24289.03
Arkansas 70444 4164 5.91 23342.64
South Dakota 25197 3663 14.54 28482.16
Oregon 77606 3358 4.33 18399.91
New Hampshire 35561 3239 9.11 26153.35
Puerto Rico 2299 2299 100.00 719.86
Idaho 32705 2293 7.01 18249.90
North Dakota 47832 1571 3.28 62766.55
Maine 23569 1477 6.27 17533.69
West Virginia 65069 1378 2.12 36409.43
Vermont 21262 927 4.36 34074.32
Wyoming 15059 675 4.48 26019.47
Hawaii 37939 635 1.67 26795.50
Montana 23035 461 2.00 21552.65
Alaska 29961 383 1.28 40955.79

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 24427 1026 4.38 5125 20.98 18381 921 53 6.11 3.77
Gujarat 8904 362 4.24 3246 36.46 5121 537 24 4.68 6.03
Tamil Nadu 8718 716 8.95 2134 24.48 6523 61 8 15.09 0.70
Delhi 7639 406 5.61 2512 32.88 5041 86 13 17.81 1.13
Rajasthan 4126 91 2.26 2454 59.48 1555 117 2 1.74 2.84
Madhya Pradesh 3986 201 5.31 1860 46.66 1901 225 4 1.81 5.64
Uttar Pradesh 3664 91 2.55 1873 51.12 1709 82 2 2.50 2.24
West Bengal 2173 110 5.33 612 28.16 1363 198 8 4.21 9.11
Andhra Pradesh 2051 33 1.64 1056 51.49 949 46 1 2.22 2.24
Punjab 1914 37 1.97 171 8.93 1711 32 1 3.23 1.67
Telangana 1326 51 4.00 822 61.99 472 32 2 6.67 2.41
Jammu and Kashmir 934 55 6.26 455 48.72 469 10 0 0.00 1.07
Karnataka 925 63 7.31 433 46.81 460 31 0 0.00 3.35
Bihar 879 130 17.36 382 43.46 491 6 0 0.00 0.68
Haryana 780 50 6.85 342 43.85 427 11 0 0.00 1.41
Odisha 538 124 29.95 116 21.56 419 3 0 0.00 0.56
Kerala 525 5 0.96 489 93.14 32 4 0 0.00 0.76
Chandigarh 187 6 3.31 30 16.04 154 3 0 0.00 1.60
Jharkhand 172 11 6.83 79 45.93 90 3 0 0.00 1.74
Tripura 154 2 1.32 2 1.30 152 0 0 NaN 0.00
Uttarakhand 69 1 1.47 46 66.67 22 1 0 0.00 1.45
Himachal Pradesh 66 7 11.86 35 53.03 25 3 0 0.00 4.55
Assam 65 0 0.00 40 61.54 23 2 1 100.00 3.08
Chhattisgarh 59 0 0.00 53 89.83 6 0 0 NaN 0.00
Ladakh 42 0 0.00 22 52.38 20 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Meghalaya 13 0 0.00 10 76.92 2 1 0 0.00 7.69
Puducherry 12 0 0.00 9 75.00 3 0 0 NaN 0.00
Goa 7 0 0.00 7 100.00 0 0 0 NaN 0.00
Manipur 2 0 0.00 2 100.00 0 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Mizoram 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Daman and Diu 0 0 NaN 0 NaN 0 0 0 NaN NaN
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 513244 82904 1033 1.26 16.15 5222 322 30675 15116 18.23
Piemonte 218071 28889 113 0.39 13.25 1900 136 13184 3428 11.87
Emilia-Romagna 239178 26929 53 0.20 11.26 1384 136 6801 3885 14.43
Veneto 454189 18782 41 0.22 4.14 393 33 5190 1686 8.98
Toscana 184851 9802 15 0.15 5.30 307 72 3841 959 9.78
Liguria 70159 8863 31 0.35 12.63 447 35 2779 1301 14.68
Lazio 185085 7212 22 0.31 3.90 1258 84 4273 566 7.85
Marche 79414 6568 25 0.38 8.27 230 24 3208 969 14.75
Campania 121253 4615 13 0.28 3.81 414 20 1877 393 8.52
Puglia 81492 4337 10 0.23 5.32 334 31 2421 456 10.51
P.A. Trento 55334 4303 6 0.14 7.78 80 9 667 445 10.34
Sicilia 105017 3343 4 0.12 3.18 234 15 1911 261 7.81
Friuli Venezia Giulia 93051 3148 10 0.32 3.38 96 2 801 313 9.94
Abruzzo 50295 3115 8 0.26 6.19 222 8 1548 370 11.88
P.A. Bolzano 50381 2572 0 0.00 5.11 56 7 437 290 11.28
Umbria 49249 1419 7 0.50 2.88 41 4 109 71 5.00
Sardegna 35476 1344 1 0.07 3.79 77 11 506 120 8.93
Valle d’Aosta 10415 1160 2 0.17 11.14 45 0 104 140 12.07
Calabria 48420 1138 4 0.35 2.35 65 1 568 93 8.17
Basilicata 19100 387 1 0.26 2.03 47 1 140 27 6.98
Molise 9981 386 3 0.78 3.87 13 1 226 22 5.70

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 39235 755 1.96 3132 118 3.92 7.98 4595.51 366.84 1 in 218
Ontario 22158 341 1.56 1852 64 3.58 8.36 1506.14 125.89 1 in 664
Alberta 6345 45 0.71 118 1 0.85 1.86 1437.75 26.74 1 in 696
British Columbia 2360 7 0.30 132 2 1.54 5.59 461.76 25.83 1 in 2166
Nova Scotia 1020 1 0.10 48 0 0.00 4.71 1043.52 49.11 1 in 958
Saskatchewan 573 5 0.88 7 0 0.00 1.22 484.91 5.92 1 in 2062
Manitoba 290 1 0.35 7 0 0.00 2.41 210.52 5.08 1 in 4750
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 120 0 0.00 0 0 NaN 0.00 153.85 0.00 1 in 6500
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68134 4512 6.62
Guangdong 1589 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1047 4 0.38
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 945 13 1.38
Jiangxi 937 1 0.11
Shandong 788 7 0.89
Shanghai 660 7 1.06
Jiangsu 653 0 0.00
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 356 1 0.28
Hebei 328 6 1.83
Shaanxi 308 3 0.97
Guangxi 254 2 0.79
Inner Mongolia 209 1 0.48
Shanxi 198 0 0.00
Tianjin 191 3 1.57
Yunnan 185 2 1.08
Hainan 168 6 3.57
Guizhou 147 2 1.36
Liaoning 147 2 1.36
Gansu 139 2 1.44
Jilin 133 1 0.75
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 4185.74 251.76 1 in 239
Russia 1607.22 14.64 1 in 622
Spain 4887.06 576.94 1 in 205
United Kingdom 3427.77 493.21 1 in 292
Italy 3657.67 511.09 1 in 273
France 2662.32 402.96 1 in 376
Brazil 851.48 59.54 1 in 1174
Germany 2091.69 93.47 1 in 478
Turkey 1750.71 48.19 1 in 571
Iran 1364.80 82.96 1 in 733
China 60.62 3.35 1 in 16496
India 55.48 1.80 1 in 18023
Canada 1926.55 140.99 1 in 519
Peru 2239.94 63.94 1 in 446
Belgium 4717.46 768.51 1 in 212
Netherlands 2513.56 321.83 1 in 398
Saudi Arabia 1303.13 8.01 1 in 767
Mexico 296.63 30.39 1 in 3371
Pakistan 174.29 3.74 1 in 5737
Chile 1757.40 18.56 1 in 569

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 186123 20237 10.87
Cook Illinois 55470 2449 4.41
Nassau New York 38434 1991 5.18
Suffolk New York 37062 1654 4.46
Los Angeles California 33211 1616 4.87
Westchester New York 31472 1238 3.93
Philadelphia Pennsylvania 18537 908 4.90
Wayne Michigan 18274 2140 11.71
Middlesex Massachusetts 17953 1244 6.93
Hudson New Jersey 17677 1000 5.66
Bergen New Jersey 17091 1388 8.12
Essex New Jersey 15826 1448 9.15
Suffolk Massachusetts 15454 732 4.74
Passaic New Jersey 14716 765 5.20
Miami-Dade Florida 14385 505 3.51
Union New Jersey 14203 899 6.33
Middlesex New Jersey 14121 801 5.67
Fairfield Connecticut 13488 1046 7.76
Rockland New York 12504 580 4.64
Essex Massachusetts 11572 678 5.86
Prince George’s Maryland 9892 373 3.77
Orange New York 9632 395 4.10
New Haven Connecticut 9430 723 7.67
Providence Rhode Island 8798 0 0.00
Harris Texas 8416 183 2.17
Worcester Massachusetts 7959 459 5.77
Oakland Michigan 7784 872 11.20
Ocean New Jersey 7633 562 7.36
Marion Indiana 7632 429 5.62
Hartford Connecticut 7528 931 12.37
King Washington 7137 513 7.19
Montgomery Maryland 7130 407 5.71
Norfolk Massachusetts 7046 663 9.41
Monmouth New Jersey 7041 460 6.53
Jefferson Louisiana 6789 405 5.97
Orleans Louisiana 6718 477 7.10
Plymouth Massachusetts 6507 409 6.29
District of Columbia District of Columbia 6485 336 5.18
Fairfax Virginia 6470 253 3.91
Maricopa Arizona 6219 259 4.16
Dallas Texas 6123 145 2.37
Macomb Michigan 6097 710 11.65
Broward Florida 5973 258 4.32
Morris New Jersey 5908 523 8.85
Lake Illinois 5662 185 3.27
Montgomery Pennsylvania 5442 534 9.81
Mercer New Jersey 5426 349 6.43
Riverside California 5248 225 4.29
San Diego California 5161 190 3.68
Bristol Massachusetts 5125 278 5.42

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc